Yang Liu

According to our database, Yang Liu authored at least 11 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering.

Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao, Jian Peng

Proceedings of the Research in Computational Molecular Biology, 2020

2019

Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.

Yufeng Su, Yunan Luo, Xiaoming Zhao, Yang Liu, Jian Peng

PLoS Comput. Biol., 2019

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning.

Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng

CoRR, 2019

Stochastic Variance Reduction for Deep Q-learning.

Wei-Ye Zhao, Xiya Guan, Yang Liu, Xiaoming Zhao, Jian Peng

CoRR, 2019

Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning.

Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, Jian Peng

Proceedings of the Research in Computational Molecular Biology, 2019

2018

Learning structural motif representations for efficient protein structure search.

Yang Liu, Qing Ye, Liwei Wang, Jian Peng

Bioinform., 2018

Deciphering Signaling Specificity with Deep Neural Networks.

Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng

Proceedings of the Research in Computational Molecular Biology, 2018

Energy-efficient Amortized Inference with Cascaded Deep Classifiers.

Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping.

Keyi Yu, Yang Liu, Alexander G. Schwing, Jian Peng

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Stein Variational Policy Gradient.

Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening.

Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng

Proceedings of the 5th International Conference on Learning Representations, 2017